Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification (2021.emnlp-main)
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| Challenge: | Discourse learning is a complex task, and schemas evolve across annotation efforts preventing compilation of smaller datasets into larger ones. |
| Approach: | They propose a multitask learning approach that can combine discourse datasets from similar and diverse domains to improve discourse classification. |
| Outcome: | The proposed approach improves on the NewsDiscourse dataset by 4.9% over current state-of-the-art benchmarks on one of the largest discourse datasets. |
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